| 交通视频监控系统中车辆阴影的去除方法 |
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| 引用本文： | 孙旭霞,张珊. 交通视频监控系统中车辆阴影的去除方法[J]. 计算机系统应用, 2011, 20(5): 75-79 |
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| 作者姓名： | 孙旭霞 张珊 |
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| 作者单位： | 西安理工大学,自动化与信息工程学院,西安,710048 |
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| 摘 要： | 针对智能交通系统(ITS)中车辆阴影带来的车辆误提取造成系统可靠性差,且检测算法无法满足实时性的问题,提出一种改进的基于HSV色彩模型与背景差分法的车辆阴影检测与去除方法.通过分析HSV色彩模型,改善亮度分量的参数选取,利用阴影与车辆和背景的亮度差检测目标车辆的阴影;结合背景差分法去除阴影.实验结果表明,该方法可以较准...
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| 关 键 词： | 智能交通 车辆检测 阴影去除 HSV色彩模型 背景差分法 |
| 收稿时间： | 2010-09-10 |
| 修稿时间： | 2010-10-02 |
Vehicles Shadow Suppression in Visual Traffic Surveillance |
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| SUN Xu-Xia and ZHANG Shan. Vehicles Shadow Suppression in Visual Traffic Surveillance[J]. Computer Systems& Applications, 2011, 20(5): 75-79 |
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| Authors: | SUN Xu-Xia and ZHANG Shan |
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| Affiliation: | SUN Xu-Xia,ZHANG Shan(Faculty of Automation and Information Engineering,Xi'an University of Technology,Xi'an 710048,China) |
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| Abstract: | Aiming at the problem that wrong extraction of vehicles shadow will cause low reliability and will not satisfy the real-time requirement in intelligent transportation system,an improved model based on HSV color space and difference of background is proposed.According to the analysis of the model,value is pushed out.The different values of shadow,vehicles and background can be used to extract shadows from target vehicles,and background subtraction is also used.Experiments on different scenes suggest that hig... |
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| Keywords: | intelligent transportation vehicles detection shadow suppression HSV color space background subtraction |
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